what problems is kazit solving?
1. loss of context over time in asset ownership
maintenance decision, reasoning, and lessons learned are easily forgotten, forcing owners to repeatedly relearn and re-solve the same problems.
2. framented maintenance knowledge
information is scattered across memory, paper files, messages, photos, and spreadsheets, making it difficult to understand what was done, why, and whether it worked.
3. unpredictable upkeep and recurring issues
without preserved reasoning and preventive knowledge, maintenance becomes reactive, costly, and stressful rather than planned and controlled.
4. dependence on people instead of systems
owners often rely on service providers, family members, or intermediaries because knowledge is not retained in a durable, owner-controlled system.

why it matters?
1. reduce long-term cognitive load
kazit externalizes ownership memory so decisions don’t have to be re-derived years later.
2. preserve leaning, not just records
by capturing what worked, what failed, and why, Kazit turns maintenance into reusable intelligence.
3. improve planning and risk awareness over time
preventive knowledge and execution continuity reduce surprises, rework, and unnecessary cost.
4. support informed supervision and controlled trust
owners retain clarity and agency even when delegating execution.

what i'm doing?
i am exploring how asset ownership can be supported by long-running intelligence, not just task tracking or document storage.
kazit is an exploratory prototype that models maintenance as projects with preparation, execution, issues, resolution, and prevention - preserving both history and reasoning. My focus is on disciplined problem framing, iterative prototyping, and testing whether structured ownership memory can meaningfully reduce effort, risk, and decision fatigue over time.